A qualitative approach to Evaluating Large Language Models for Responsible Gen AI on AWS

This article discusses a solution created by Caylent to build a human-in-the-loop LLM evaluation and benchmarking workflow for different tasks like coding, chatbot, summarization, and instruction-following, using AWS services and a Streamlit UI application.

Specifically, the article covers:

• Customer challenges in evaluating and selecting appropriate LLMs for their use cases
• Solution overview with key components like Model Repository, Prompt Catalog, Workflow Orchestration, and UI for human feedback
• Solution architecture and implementation details using AWS services like Amazon Bedrock, DynamoDB, Step Functions, Lambda, EventBridge, and Streamlit
• Customer reference highlighting Caylent's work with RLDatix on Generative AI solutions
• Caylent's Generative AI offerings and capabilities on AWS to help customers adopt and operationalize Generative AI